code: def keras_model():
      inputs = Input(shape=(100,), name="embedding_input")
      embedding = Embedding(13, 8, input_length=100, name="embedding")(
          inputs
      )
      model = Model(inputs=inputs, outputs=embedding)
      return model
  
file_path: hls4ml/test/pytest/test_embed.py
imports: from pathlib import Path
  import numpy
  import pytest
  from tensorflow.keras.layers import Embedding, Input
  from tensorflow.keras.models import Model
  import hls4ml
label_desc: Use image node_id 2 for calling a global function with example usage: keras_model() and returns: model